How to Use the Zippopotam.us MCP in OpenAI Agents SDK
Location data for production agents using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zippopotam.us MCP to OpenAI Agents SDK
Create your Vinkius account to connect Zippopotam.us to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Look up zip codes by city name.
The `lookup_nearby_city` tool finds all associated zip codes when you pass in a major metropolitan area. This is perfect for your agent's initial planning phase, letting it define the scope of work based on geography. Your production agent uses this data to narrow down target areas before executing complex tasks. It ensures that every action taken by the system is tied back to a specific, validated geographical zone.
Get coordinates from postal codes.
When your agent runs `lookup_postcode`, you get structured data including state, city, and precise coordinates. This eliminates guesswork; it tells you exactly where the location is on a map. This functionality lets specialized agents perform tasks like routing or proximity checks immediately after fetching the code. It's core geographic intelligence for your deployed system.
Reliable geo-data sourcing via MCP Server.
The OpenAI Agents SDK integrates with Zippopotam.us to manage location data requests, making sure your agent always accesses current postal information through a controlled endpoint. This pattern allows you to build robust workflows where the AI client doesn't just guess; it executes a validated call against an external source of truth. The built-in guardrails keep everything contained and traceable.
Set up Zippopotam.us MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Zippopotam.us tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Zippopotam.us tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Zippopotam.us tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Zippopotam.us Agent",
instructions="You have access to Zippopotam.us tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zippopotam.us. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Zippopotam.us MCP in OpenAI Agents SDK
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